From 59640b16c147e28b6ab9af31128abdb4ff7b7c9d Mon Sep 17 00:00:00 2001
From: Uwe Schmitt <uwe.schmitt@id.ethz.ch>
Date: Wed, 12 Dec 2018 15:41:03 +0100
Subject: [PATCH] started to incorporate changes discussed in review meeting

---
 01_introduction.ipynb   | 699 ++++++++++++++++++++++++++++++++--------
 02_classification.ipynb |  73 +++--
 2 files changed, 594 insertions(+), 178 deletions(-)

diff --git a/01_introduction.ipynb b/01_introduction.ipynb
index c7cab27..96cb0f2 100644
--- a/01_introduction.ipynb
+++ b/01_introduction.ipynb
@@ -50,7 +50,10 @@
     "\n",
     "## ML: what is \"learning\" ?\n",
     "\n",
-    "To create a predictive model, we must first \"learn\" such a model on given data. \n",
+    "To create a predictive model, we must first train such a model on given data. \n",
+    "\n",
+    "**Alternative names for \"to train\" a model are \"to fit\" or \"to learn\" a model.**\n",
+    "\n",
     "\n",
     "All ML algorithms have in common that they rely on internal data structures and/or parameters. Learning then builds up such data structures or adjusts parameters based on the given data. After that such models can be used to explain observations or to answer questions.\n",
     "\n",
@@ -261,9 +264,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**MAYBE WE SHOULD RETHINK THE PLACEMENT OF FOLLOWING 2 SECTIONS (IMAGES, TEXT AS FEATURE VECTORS)**\n",
+    "We show now two examples how one can create feature vectors from data which is not naturally given as vectors:\n",
+    "\n",
+    "1. Feature vectors from images\n",
+    "2. Feature vectors from text.\n",
     "\n",
-    "### How to represent images as  feature vectors ?\n",
+    "### 1st Example: How to represent images as  feature vectors ?\n",
     "\n",
     "In order to simplify our explanations we only consider grayscale images in this section. \n",
     "Computers represent images as matrices. Every cell in the matrix represents one pixel, and the numerical value in the matrix cell its gray value.\n",
@@ -309,9 +315,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f8285f1acc0>"
+       "<Figure size 1296x360 with 9 Axes>"
       ]
      },
      "metadata": {
@@ -334,7 +340,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Following is the first image from the data set, it is a 8 x 8 matrix with values 0 to 15. The range 0 to 15 is fixed for this specific data set. Other formats allow e.g. values 0..255 or floating point values in the range 0 to 1."
+    "Following is the first image from the data set, it is a 8 x 8 matrix with values 0 to 15 (black to white). The range 0 to 15 is fixed for this specific data set. Other formats allow e.g. values 0..255 or floating point values in the range 0 to 1."
    ]
   },
   {
@@ -393,11 +399,38 @@
     "print(vector)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1797, 8, 8)\n",
+      "(1797, 64)\n",
+      "[ 0.  0.  5. 13.  9.  1.  0.  0.  0.  0. 13. 15. 10. 15.  5.  0.  0.  3.\n",
+      " 15.  2.  0. 11.  8.  0.  0.  4. 12.  0.  0.  8.  8.  0.  0.  5.  8.  0.\n",
+      "  0.  9.  8.  0.  0.  4. 11.  0.  1. 12.  7.  0.  0.  2. 14.  5. 10. 12.\n",
+      "  0.  0.  0.  0.  6. 13. 10.  0.  0.  0.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(dd.images.shape)\n",
+    "\n",
+    "# reashape to 1797, 64:\n",
+    "images_flat = dd.images.reshape(-1, 64)\n",
+    "print(images_flat.shape)\n",
+    "print(images_flat[0])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### How to present textual data as feature vectors ?"
+    "### 2nd Example: How to present textual data as feature vectors ?"
    ]
   },
   {
@@ -442,12 +475,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Note**: Such vectorization is unsually not done manually. This is a quick code example how to automate this within `scikit-learn`:\n"
+    "**Note**: Such vectorization is unsually not done manually. Below you find is a short code example to demonstrate how text feature vectors can be created with `scikit-learn`. Actually there are improved but more complicated procedures which compute multiplicative weights for the vector entries to emphasize informative words (see also https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -471,13 +504,6 @@
     "print(vector)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# TODO: exercises here to load another example data set and do some stats / plots."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -568,9 +594,37 @@
     "Our example beer data set reflects the very personal opinion of one of the tutors which beer he likes and which not. To learn a predictive model and to understand influential factors all beers went through some lab analysis to measure alcohol content, bitterness, darkness and fruitiness."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 1. Load the data and show the overall structure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(225, 5)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# read some data\n",
+    "beer_data = pd.read_csv(\"beers.csv\")\n",
+    "print(beer_data.shape)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -655,29 +709,162 @@
        "4         4.148710    0.570586  1.461568    0.260218         0"
       ]
      },
-     "execution_count": 126,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import pandas as pd\n",
+    "# show first 5 rows\n",
+    "beer_data.head(5)\n",
     "\n",
-    "# read some data\n",
-    "beer_data = pd.read_csv(\"beers.csv\")\n",
-    "beer_data.head(5)"
+    "# there is alos beer_data.tail(5) !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>alcohol_content</th>\n",
+       "      <th>bitterness</th>\n",
+       "      <th>darkness</th>\n",
+       "      <th>fruitiness</th>\n",
+       "      <th>is_yummy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>4.711873</td>\n",
+       "      <td>0.463945</td>\n",
+       "      <td>2.574963</td>\n",
+       "      <td>0.223111</td>\n",
+       "      <td>0.528889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.437040</td>\n",
+       "      <td>0.227366</td>\n",
+       "      <td>1.725916</td>\n",
+       "      <td>0.117272</td>\n",
+       "      <td>0.500278</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>3.073993</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>4.429183</td>\n",
+       "      <td>0.281291</td>\n",
+       "      <td>1.197640</td>\n",
+       "      <td>0.135783</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>4.740846</td>\n",
+       "      <td>0.488249</td>\n",
+       "      <td>2.026548</td>\n",
+       "      <td>0.242396</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>5.005170</td>\n",
+       "      <td>0.631056</td>\n",
+       "      <td>4.043995</td>\n",
+       "      <td>0.311874</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>5.955272</td>\n",
+       "      <td>1.080170</td>\n",
+       "      <td>7.221285</td>\n",
+       "      <td>0.535315</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       alcohol_content  bitterness    darkness  fruitiness    is_yummy\n",
+       "count       225.000000  225.000000  225.000000  225.000000  225.000000\n",
+       "mean          4.711873    0.463945    2.574963    0.223111    0.528889\n",
+       "std           0.437040    0.227366    1.725916    0.117272    0.500278\n",
+       "min           3.073993    0.000000    0.000000    0.000000    0.000000\n",
+       "25%           4.429183    0.281291    1.197640    0.135783    0.000000\n",
+       "50%           4.740846    0.488249    2.026548    0.242396    1.000000\n",
+       "75%           5.005170    0.631056    4.043995    0.311874    1.000000\n",
+       "max           5.955272    1.080170    7.221285    0.535315    1.000000"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# show basic statistics of the data\n",
+    "beer_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2. Visiual inspection\n",
+    "\n",
+    "Such checks are very useful before you start throwning ML on your data. Some vague understanding how features are distributed and correlate can later be very helpfull to optimize performance of ML procedures.\n",
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 159,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 813.6x720 with 20 Axes>"
+       "<Figure size 776.6x720 with 20 Axes>"
       ]
      },
      "metadata": {},
@@ -691,7 +878,9 @@
     "for_plot = beer_data.copy()\n",
     "\n",
     "def translate_label(value):\n",
-    "    return \"not yummy\" if value == 0 else \"yummy\"\n",
+    "    # seaborn has issues if labes are numbers or strings which represent numbers,\n",
+    "    # for whatever reason \"real\" text labels work\n",
+    "    return \"no\" if value == 0 else \"yes\"\n",
     "\n",
     "for_plot[\"is_yummy\"] = for_plot[\"is_yummy\"].apply(translate_label)\n",
     "\n",
@@ -702,19 +891,25 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# TODO: some comments on the plots"
+    "What do we see ?\n",
+    "\n",
+    "- Points and colors don't look randomly distributed.\n",
+    "- We can see that some pairs like `darkness` vs `bitterness` seem to carry information which could support building a classifier.\n",
+    "- We also see that `bitterness` and `fruitiness` show correlation.\n",
+    "\n",
+    "Features which show no structure can also decrease performance of ML and often it makes sense to discard them.\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now we split our data frame into the input features and target values:"
+    "### 3. Prepare data: split features and labels"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -753,12 +948,23 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We experiment now the so called `LogisticRegression` classifier. The name is misleading: logistic regression internally uses a kind of regression algorithm for probabilities with the final goal to classify data. So even if the name contains \"regression\" it still is a classifier."
+    "### 4. Some experiments with classifiers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now perform first experiments with so called `LogisticRegression` and `SVC` classifiers. Details about these will follow later during the course. The intention of this section is to make very first experiments, but not to understand what these algorithms actually do.\n",
+    "\n",
+    "Note:\n",
+    "\n",
+    "The name `LogisticRegression` is misleading: logistic regression internally uses a kind of regression algorithm for probabilities with the final goal to classify data. So even if the name contains \"regression\" it still is a classifier."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -767,7 +973,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -778,12 +984,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In `scikit-learn` all classifiers have a `fit` method to learn from data:"
+    "\n",
+    "In `scikit-learn` all classifiers have a `fit` method to learn / train from data:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -795,7 +1002,7 @@
        "          verbose=0, warm_start=False)"
       ]
      },
-     "execution_count": 145,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -808,19 +1015,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "TODO: Type `LogisticRegression?` in a code cell and read the shown documentation."
+    "If you want to learn more about `LogisticRegression` you can use `help(LogisticRegression)` or `LogistigRegression?` to see the related documenation. The latter version only works in jupyter notebooks."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Also `scikit-learn` classifiers have a `predict` method for predicting classes for input features. Here we just re-classify our learning data:"
+    "Trained `scikit-learn` classifiers have a `predict` method for predicting classes for input features. \n",
+    "\n",
+    "Here we just re-classify our learning data:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -836,7 +1045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -867,7 +1076,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -875,7 +1084,7 @@
      "output_type": "stream",
      "text": [
       "225 examples\n",
-      "191 labeled correctly\n"
+      "187 labeled correctly\n"
      ]
     }
    ],
@@ -897,44 +1106,44 @@
    "source": [
     "## What happened ?\n",
     "\n",
-    "Why were not not all labels where predicted correctly ?\n",
+    "Why were not  all labels  predicted correctly ?\n",
     "\n",
     "Neither `Python` nor `scikit-learn` is broken. What we observed above is very typical for machine-learning applications.\n",
     "\n",
-    "The reason here is that we have incomplete information: other features of beer which also contribute to the rating (like \"maltiness\") were not measured or can not be measured. So even the best algorithm can not predict the target values correctly in every case.\n",
+    "Reasons could be:\n",
     "\n",
-    "Another explanation is that the used  classifiers might have been not suitable for the given problem.\n",
+    "- we have incomplete information: other features of beer which also contribute to the rating (like \"maltiness\") were not measured or can not be measured. \n",
     "\n",
-    "Noise in the data as incorrectly assigned labels can also produce weak results:\n",
+    "- the used classifiers might have been not suitable for the given problem.\n",
     "\n",
+    "- noise in the data as incorrectly assigned labels also affect results.\n",
     "\n",
-    "* Finding good features is crucial for the performance of ML algorithms!\n",
     "\n",
+    "**Finding good features is crucial for the performance of ML algorithms!**\n",
     "\n",
-    "* Another important requirement is to make sure that you have clean data: input-features might be corrupted by flawed entries, feeding such data into a ML algorithm will usually lead to reduced performance."
+    "\n",
+    "Another important requirement is to make sure that you have clean data: input-features might be corrupted by flawed entries, feeding such data into a ML algorithm will usually lead to reduced performance."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now we play with a different ML algorithm, the so called `Support Vector Classifier` (which belongs to a class of algorithms named `SVM`s (`Support Vector Machines`).\n",
-    "\n",
-    "**we will discuss available ML algorithms in a following script**\n"
+    "Now we play with a different ML algorithm, the so called `Support Vector Classifier` (which belongs to a class of algorithms named `SVM`s (`Support Vector Machines`). As already said, details about classifiers will follow later.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.svm import SVC\n",
     "\n",
     "classifier = SVC(C=1)\n",
-    "classifier.fit(features, labels)\n",
+    "classifier.fit(input_features, labels)\n",
     "\n",
-    "predicted_labels = classifier.predict(features)"
+    "predicted_labels = classifier.predict(input_features)"
    ]
   },
   {
@@ -946,7 +1155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -975,122 +1184,326 @@
     "\n",
     "### Instructions:\n",
     "\n",
-    "- Play with parameter `C` for `LogisticRegresseion` and `SVC`.\n"
+    "- Play with parameter `C` for `LogisticRegresseion` and `SVC`.\n",
+    "\n",
+    "### Optional exercise:\n",
+    "\n",
+    "Experiment with the so called \"iris datasedt\" which is included in `scikit-learn`:https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html\n",
+    "\n",
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/Users/uweschmitt/Projects/machinelearning-introduction-workshop/venv3.6/lib/python3.6/site-packages/ipykernel_launcher.py:9: UserWarning: get_ipython_dir has moved to the IPython.paths module since IPython 4.0.\n",
-      "  if __name__ == '__main__':\n"
+      "['setosa' 'versicolor' 'virginica']\n",
+      "(150, 4)\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "\n",
+    "data = load_iris()\n",
+    "\n",
+    "# labels as text\n",
+    "print(data.target_names) \n",
+    "\n",
+    "# (rows, columns) of the feature matrix:\n",
+    "print(data.data.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
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-       "        line-height: 145%;\n",
-       "        }\n",
-       "        \n",
-       "    li {\n",
-       "        line-height: 145%;\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>petal length (cm)</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4.7</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
+       "0                5.1               3.5                1.4               0.2   \n",
+       "1                4.9               3.0                1.4               0.2   \n",
+       "2                4.7               3.2                1.3               0.2   \n",
+       "3                4.6               3.1                1.5               0.2   \n",
+       "4                5.0               3.6                1.4               0.2   \n",
+       "\n",
+       "   class  \n",
+       "0      0  \n",
+       "1      0  \n",
+       "2      0  \n",
+       "3      0  \n",
+       "4      0  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# transform the scikit-learn data structure into a data frame:\n",
+    "df = pd.DataFrame(data.data, columns=data.feature_names)\n",
+    "df[\"class\"] = data.target\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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        "\n",
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+       "        text-align: right;\n",
        "    }\n",
-       "    \n",
-       "    div#maintoolbar {display: none !important;}\n",
-       "    </style>"
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>petal length (cm)</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>5.843333</td>\n",
+       "      <td>3.054000</td>\n",
+       "      <td>3.758667</td>\n",
+       "      <td>1.198667</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.828066</td>\n",
+       "      <td>0.433594</td>\n",
+       "      <td>1.764420</td>\n",
+       "      <td>0.763161</td>\n",
+       "      <td>0.819232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.300000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>1.600000</td>\n",
+       "      <td>0.300000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>5.800000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.350000</td>\n",
+       "      <td>1.300000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6.400000</td>\n",
+       "      <td>3.300000</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.800000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>4.400000</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
       "text/plain": [
-       "<IPython.core.display.HTML object>"
+       "       sepal length (cm)  sepal width (cm)  petal length (cm)  \\\n",
+       "count         150.000000        150.000000         150.000000   \n",
+       "mean            5.843333          3.054000           3.758667   \n",
+       "std             0.828066          0.433594           1.764420   \n",
+       "min             4.300000          2.000000           1.000000   \n",
+       "25%             5.100000          2.800000           1.600000   \n",
+       "50%             5.800000          3.000000           4.350000   \n",
+       "75%             6.400000          3.300000           5.100000   \n",
+       "max             7.900000          4.400000           6.900000   \n",
+       "\n",
+       "       petal width (cm)       class  \n",
+       "count        150.000000  150.000000  \n",
+       "mean           1.198667    1.000000  \n",
+       "std            0.763161    0.819232  \n",
+       "min            0.100000    0.000000  \n",
+       "25%            0.300000    0.000000  \n",
+       "50%            1.300000    1.000000  \n",
+       "75%            1.800000    2.000000  \n",
+       "max            2.500000    2.000000  "
       ]
      },
-     "execution_count": 75,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 806.85x720 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "sns.set(style=\"ticks\")\n",
+    "\n",
+    "for_plot = df.copy()\n",
+    "\n",
+    "def transform_label(class_):\n",
+    "    return data.target_names[class_]\n",
+    "\n",
+    "# seaborn does not work here if we use numeric values in the class\n",
+    "# column, or strings which represent numbers. To fix this we\n",
+    "# create textual class labels\n",
+    "for_plot[\"class\"] = for_plot[\"class\"].apply(transform_label)\n",
+    "sns.pairplot(for_plot, hue=\"class\", diag_kind=\"hist\") ;"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Instructions:\n",
+    "\n",
+    "Adapt the previous examples and play with `LogisticRegression` and `SVC` classfiers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "#REMOVEBEGIN\n",
     "# THE LINES BELOW ARE JUST FOR STYLING THE CONTENT ABOVE !\n",
@@ -1217,7 +1630,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,
diff --git a/02_classification.ipynb b/02_classification.ipynb
index f878466..320747f 100644
--- a/02_classification.ipynb
+++ b/02_classification.ipynb
@@ -24,39 +24,7 @@
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": [
-    "## Examples below only discuss the two classes case !?\n",
-    "\n",
-    "**NEEDS TO BE MOVED FROM HERE**\n",
-    "\n",
-    "The following examples in this script will only consider two class problems. \n",
-    "Before we dig deeper into classification, we want to say a few words on how can we handle more than two classes. \n",
-    "\n",
-    "\n",
-    "The general idea for `n > 2` classes is to build multiple 2-class classifiers and determine a winner:\n",
-    "\n",
-    "- the **one-vs-all** approach builds `n` classifiers for \"label n vs. the rest\". \n",
-    "\n",
-    "\n",
-    "- the **one-vs-one** approach builds  classifiers for `label i vs label j` (in total `n x (n - 1) / 2` classifiers).\n",
-    "\n",
-    "For new incoming data then the `n` resp. `n x n` classifiers are applied and the overall winner class is the final result.\n",
-    "\n",
-    "For the digit classificaton example:\n",
-    "\n",
-    "- we could build 10 classifiers `is it 0 or one of the others`, `is it 1 one or one of the others`, etc.\n",
-    "  \n",
-    "  A new image then would hopefully yield `True` for exactly one of the classifier, in other situations the result is unclear.\n",
-    "   \n",
-    "   \n",
-    "- we could build 45 classifiers `is it 0 or 1`, `is it 0 or 2`, etc.\n",
-    "\n",
-    "  For a new image we could choose the final outcome based on which of the classifiers \"wins\" most often.\n",
-    "\n",
-    "\n",
-    "#### Note:\n",
-    "In `scikit-learn` many classifiers support such multi-class problems out of the box and also offers functionalities to implement `one-vs-all` or `one-vs-one` for specific cases. See https://scikit-learn.org/stable/modules/multiclass.html"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -71,7 +39,6 @@
    "source": [
     "## Geometrical interpretation of feature vectors\n",
     "\n",
-    "**REPEAT??**\n",
     "\n",
     "If you take the values of an input-feature vector you can imagine it as a point in a d-dimensional space.\n",
     "\n",
@@ -1126,6 +1093,42 @@
     "We will see later that adding too many features can introduce other problems (-> *overfitting*) but there are also methods for feature selection in this case (see https://scikit-learn.org/stable/modules/feature_selection.html)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Examples below only discuss the two classes case !?\n",
+    "\n",
+    "\n",
+    "The following examples in this script will only consider two class problems. \n",
+    "Before we dig deeper into classification, we want to say a few words on how can we handle more than two classes. \n",
+    "\n",
+    "\n",
+    "The general idea for `n > 2` classes is to build multiple 2-class classifiers and determine a winner:\n",
+    "\n",
+    "- the **one-vs-all** approach builds `n` classifiers for \"label n vs. the rest\". \n",
+    "\n",
+    "\n",
+    "- the **one-vs-one** approach builds  classifiers for `label i vs label j` (in total `n x (n - 1) / 2` classifiers).\n",
+    "\n",
+    "For new incoming data then the `n` resp. `n x n` classifiers are applied and the overall winner class is the final result.\n",
+    "\n",
+    "For the digit classificaton example:\n",
+    "\n",
+    "- we could build 10 classifiers `is it 0 or one of the others`, `is it 1 one or one of the others`, etc.\n",
+    "  \n",
+    "  A new image then would hopefully yield `True` for exactly one of the classifier, in other situations the result is unclear.\n",
+    "   \n",
+    "   \n",
+    "- we could build 45 classifiers `is it 0 or 1`, `is it 0 or 2`, etc.\n",
+    "\n",
+    "  For a new image we could choose the final outcome based on which of the classifiers \"wins\" most often.\n",
+    "\n",
+    "\n",
+    "#### Note:\n",
+    "In `scikit-learn` many classifiers support such multi-class problems out of the box and also offers functionalities to implement `one-vs-all` or `one-vs-one` for specific cases. See https://scikit-learn.org/stable/modules/multiclass.html"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1487,7 +1490,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,
-- 
GitLab